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The data explosion: tackling the taboo of automatic feature recognition in airborne survey data

Published online by Cambridge University Press:  26 August 2014

Rebecca Bennett ,
Dave Cowley  and
Véronique De Laet
Rebecca Bennett
Affiliation:
1Department of Archaeology, University of Winchester, King Alfred Campus, Sparkford Road, Winchester SO22 4NR, UK
Dave Cowley
Affiliation:
2Royal Commission on the Ancient and Historical Monuments of Scotland, John Sinclair House, 16 Bernard Terrace, Edinburgh EH8 9NX, UK
Véronique De Laet
Affiliation:
3Department of Earth and Environmental Sciences, KU Leuven, Celestijnenlaan 200E, B-3001 Leuven-Heverlee, Belgium 43GeoID, Researchpark Haasrode, Interleuvenlaan 62, 3001 Leuven, Belgium
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Abstract

The increasing availability of multi-dimensional remote-sensing data covering large geographical areas is generating a new wave of landscape-scale research that promises to be as revolutionary as the application of aerial photographic survey during the twentieth century. Data are becoming available to historic environment professionals at higher resolution, greater frequency of acquisition and lower cost than ever before. To take advantage of this explosion of data, however, a paradigm change is needed in the methods used routinely to evaluate aerial imagery and interpret archaeological evidence. Central to this is a fuller engagement with computer-aided methods of feature detection as a viable way to analyse airborne and satellite data. Embracing the new generation of vast datasets requires reassessment of established workflows and greater understanding of the different types of information that may be generated using computer-aided methods.

Type
Method
Information
Antiquity , Volume 88 , Issue 341 , September 2014 , pp. 896 - 905
Copyright
Copyright © Antiquity Publications Ltd 2014

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